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ISTS Faculty Affiliates

Denise Anthony
Hans Brechbühl
Andrew Campbell
Guanling Chen
Tanzeem Choudhury
George Cybenko
Hany Farid
Edward A. Feustel
James Ford
M. Eric Johnson

David Kotz
Fillia Makedon
M. Douglas McIlroy
Reza Olfati-Saber
Fabio Pellacini
Eugene Santos
Sean Smith
Stephen Taylor
Paul Thompson



Denise Anthony

Denise Anthony, Ph.D.
Dartmouth College, Sociology Department

Denise Anthony is an Associate Professor in the Department of Sociology at Dartmouth College, an Adjunct Assistant Professor in the Department of Community and Family Medicine at Dartmouth Medical School, and an ISTS faculty affiliate. Denise’s research interests include collective action processes, economic sociology, organizational behavior and the sociology of health care. She studies mechanisms for producing cooperation, trust, and social capital among low-income entrepreneurs in micro-credit borrowing groups. She is now beginning to explore how trust affects communication and security in the digital environment of the Internet.

Denise works with the PKI Lab and the Center for Mobile Computing to explore the development and use of technology and institutional infrastructure for secure communication within and across wired and wireless computer networks. She also studied inter-organizational communication between industry and government organizations during the national cyber-exercise, Livewire, sponsored by ISTS.

Prior to her appointment at Dartmouth, Denise was a Robert Wood Johnson Health Policy Post-doctoral Scholar at the University of Michigan from 1997-1999. She has a Ph.D. in Sociology (1997) from the University of Connecticut.

Current Projects: Digital Living (DL), Technology For Trust (T4T), Trust in Internet Exchange
Email: Denise.L.Anthony[at] Dartmouth.edu  
Website: http://www.dartmouth.edu/~socy/faculty/anthony.html


Hans Brechbühl
Hans Brechbühl
Dartmouth College, Tuck School of Business

Hans Brechbühl is an Adjunct Associate Professor of Business Administration in the Tuck School of Business, the Executive Director of the Center for Digital Strategies, and an ISTS faculty affiliate. Hans leads the center's corporate outreach efforts and runs the Roundtable on Digital Strategies, a forum for CIOs of the Global 1000 and their executive colleagues. Before joining Tuck, he was group VP of corporate development for Metromedia International Telecommunications (MITI) and an executive for a financial dotcom. At MITI, Hans led business development and strategy from 1998-2000, negotiating cable, telecoms, and internet deals. As managing director of the Davidson Institute from 1993-98, Hans co-directed a $3.5 million independent business education institute focused on emerging markets at the University of Michigan Business School. He built corporate partnerships with AT&T, Whirlpool, P&G, and other Fortune 500 companies and was responsible for establishing all aspects of the Institute's operations as a startup. In a previous life, Hans served as an intelligence officer in the U.S. Army where he led tactical units on the Iron Curtain in Europe for six years. He holds an AM from Harvard University and a BS in engineering from the U.S. Military Academy at West Point. Hans is of Swiss heritage and speaks a number of European languages.

Current Projects: Economics I3P, Business Education for the Security Professional (BESP)
E-Mail: Hans.Brechbuhl[at]Dartmouth.edu
Website: www.tuck.dartmouth.edu/digitalstrategies
Website: Hans C. Brechbuhl / Tuck School of Business at Dartmouth


Andrew Campbell
Andrew Campbell, Ph.D.
Dartmouth College, Department of Computer Science

Andrew joined Dartmouth College in 2005 as an Associate Professor in Computer Science.  He leads the SensorLab and is a member of the Center for Mobile Computing (CMC) and the Institute for Security Technology Studies (ISTS). Prior to joining Dartmouth, Andrew was an Associate Professor of Electrical Engineering at Columbia University (1996-2005) and a member of the COMET Group. His current research interests include people-centric sensing, intrusion detection systems for Wi-Fi networks, and open spectrum wireless networks.

Andrew received his Ph.D. in Computer Science (1996) from Lancaster University, England, and the NSF Career Award (1999) for his research in programmable wireless networking. Prior to joining academia he spent 10 years working in industry both in Europe and the USA in product research and development of computer networks and wireless packet networks. He spent his sabbatical year (2003-2004) at the Computer Lab, Cambridge University, as an EPSRC Visiting Fellow.

Current Projects: Scalable Secure Sensor Systems (4S), Digital Living (DL), Measure, Analyze, Protect (MAP)

Email: Andrew.T.Campbell[at]Dartmouth.edu
Website: http://www.cs.dartmouth.edu/~campbell/


Guanling Chen
Guanling Chen, Ph.D.
University of Massachusetts Lowell, Department of Computer Science

Guanling Chen is an Assistant Professor of Computer Science at the University of Massachusetts Lowell. He has a Ph.D. in Computer Science from Dartmouth College. His general interests are in wireless networks, mobile systems, and pervasive computing. His current research involves Cybersecurity through measurement for wireless LANs. He has also worked on a scalable data-fusion system for distributed Internet worm detection.

Current Projects: Measure, Analyze, Protect (MAP)

Email: glchen[at]cs.uml.edu
Website: http://www.cs.uml.edu/~glchen/


Tanzeem Choudhury
Tanzeem Choudhury, Ph.D.
Dartmouth College, Department of Computer Science


Tanzeem Choudhury is an Assistant Professor in the Computer Science Department at Dartmouth and an affiliate faculty member at the University of Washington. She comes to Dartmouth from Intel Research Seattle and holds a B.S. in electrical engineering from the University of Rochester, and M.S. and Ph.D. degrees from the Media Laboratory at the Massachusetts Institute of Technology (MIT).

Tanzeem Choudhury develops machine learning techniques for systems that can reason about human activities, interactions, and social networks in everyday environments. She co-organized a multidisciplinary workshop on Modeling Social Dynamics, sponsored by the National Science Foundation (NSF), and is leading an NSF-funded research effort that unites sensing and communications tools employed by ubiquitous computing with machine learning techniques, in order to study unobtrusively large populations of interacting humans over extended periods of time.

Current Projects: Discovery of Trends in Activity-Aware Computing Environments

Email: Tanzeem.Choudhury[at]Dartmouth.edu
Website: http://www.cs.dartmouth.edu/~tanzeem/


George Cybenko
George Cybenko, Ph.D.
Dartmouth College, Thayer School of Engineering

George Cybenko is the Dorothy and Walter Gramm Professor of Engineering at Dartmouth College. He joined Dartmouth's Thayer School of Engineering in the fall of 1992. Prior to joining Dartmouth, he held positions at Tufts University and the University of Illinois at Urbana-Champaign. Cybenko received the B.Sc. degree in Mathematics from the University of Toronto and the M.Sc. and Ph.D degrees in the Applied Mathematics of Electrical and Computer Engineering from Princeton University in 1978. George was the Kloosterman Distinguished Visiting Professor at Leiden University, the Netherlands in 1996. He is the founding Editor-in-Chief of IEEE/AIP Computing in Science and Engineering. George has pioneered research in several areas: signal processing, parallel computing, neurocomputing and mobile agent systems. His current research interest is distributed information systems.

Current Projects: Scalable Secure Sensor Systems (4S), Foundations for Practical Autonomic Computing (AC), Dartmouth Internet Security Test-bed (DIST), DIST – Visualization Experiments (DIST – Vis), Monitoring and Diagnosing SCADA Systems (SCADA)

Email: George.Cybenko[at]Dartmouth.edu
Website: http://engineering.dartmouth.edu/faculty/regular/georgecybenko.html


Hany Farid
Hany Farid, Ph.D.
Dartmouth College, Department of Computer Science

Hany Farid received his undergraduate degree in Computer Science and Applied Mathematics from the University of Rochester in 1989. He received his Ph.D. in Computer Science from the University of Pennsylvania in 1997. Following a two-year post-doctoral position in Brain and Cognitive Sciences at MIT, he joined the Dartmouth faculty in 1999. Hany is the David T. McLaughlin Distinguished Professor of Computer Science and Associate Chair of Computer Science. He is the recipient of an NSF CAREER award, a Sloan Fellowship and a Guggenheim Fellowship.

From working with federal law enforcement agencies on digital forensics, to the digital reconstruction of Ancient Egyptian tombs, Hany works and plays with digital media at the crossroads of computer science, engineering, mathematics, optics, and psychology.

Current Projects: Digital Video Forensics (DVF), Digital Image Forensics (DIF)

Email: farid[at]cs.dartmouth.edu
Website: http://www.cs.dartmouth.edu/farid/


Edward A. Feustel
Edward A. Feustel, Ph.D.
Dartmouth College, Department of Computer Science

Ed Feustel is an Adjunct Professor of Computer Science at Dartmouth College and a faculty affiliate of the Institute for Security Technology Studies.   While with ISTS and the Computer Science department, Ed has participated in two winning proposals associated with Dartmouth’s PKI Lab.

Ed has been involved in work with the PKI Lab that has led to the initial development and deployment at Dartmouth of the Dartmouth Certificate Authority (see http://collegeca.dartmouth.edu).  He has also worked with thesis students on implementing distributed security using public and private key pairs using the OASIS standards for Secure Attribute Markup Language (SAML) and eXtensible Access Control Markup Language (XACML).  Ed’s current research interest is in security for applications that use distributed resources as part of their execution environment.
Ed came to Dartmouth and ISTS from the Computer and Software Engineering Division of the Institute for Defense Analyses (IDA), Alexandria, Virginia where he was on the Research Staff. Ed has also held positions at: Prime Computer; Rice University (where he was a tenured Associate Professor of Electrical Engineering and Computer Science); IDA Princeton; Lawrence Livermore Laboratory; and the California Institute of Technology.  He is a graduate of Princeton University (MA and Ph.D. in Electrical Engineering) and MIT (BSEE and MSEE).

Email: Edward.A.Feustel[at]Dartmouth.EDU
Website: http://www.feustel.us/Feustel%20&%20Associates/


James Ford
James Ford, Ph.D.
University of Texas at Arlington, Department of Computer Science and Engineering
Dartmouth College, Department of Computer Science

James Ford is a Research Assistant Professor in the Dartmouth Experimental Visualization Laboratory (DEVLAB), a research lab in the Computer Science department at Dartmouth College, and a Faculty Associate-Researcher in the Heracleia Human Computing Laboratory at the University of Texas at Arlington's Computer Science & Engineering department. He is also a faculty affiliate of the ISTS.  James earned his Ph.D. from Dartmouth College.

James’ research interests include: artificial intelligence methods, biomedical image analysis and classification, bioinformatics, information retrieval, privacy-preserving methods, recommendation systems, and P2P and sensor networks.

Email: jford[at]cs.dartmouth.edu
Website: http://www.cs.dartmouth.edu/~jford/index.html


M. Eric Johnson
M. Eric Johnson, Ph.D.
Dartmouth College, Tuck School of Business

Eric Johnson is a Professor of Operations Management in Dartmouth’s Tuck School of Business, the Director of the Glassmeyer/McNamee Center for Digital Strategies and an ISTS faculty affiliate.  Eric's teaching and research focuses on the impact of information technology on supply chain management and he has published recent articles on this subject in Sloan Management Review, CIO Magazine, and Supply Chain Management Review. His research on postponement strategies recently won the Accenture Award for outstanding paper. He is particularly interested in the supply chain challenges faced by industries with short product life cycles such as toys, apparel and computers.

Before joining Tuck, he taught for eight years at the Owen Graduate School of Management, Vanderbilt University. He was previously employed by Hewlett-Packard Co. and Systems Modeling Corp. He has consulted for diverse companies such as Lucent, Mattel, Hewlett-Packard, Accenture, Pepsi, DHL, The Parthenon Group, Campbell-Hausfeld, Fleetguard, and Kulic & Soffa.

Eric holds an MS in industrial engineering and operations research from Penn State University, and a Ph.D. in industrial engineering from Stanford University.

Current Projects: Hardware Based Security (HBS), I3P – Human Behavior, Information Risk in the Professional Services (IRIPS), OpenSolaris, PKI Research, Secure Information Systems Mentoring and Training (SISMAT), Technology for Trust: Tiny Trusted Third Parties (T4T: T3P), Technology for Trust: Usable High-Assurance Operating Systems (T4T:UHOS), Trustworthy Cyber Infrastructure for the Power Grid (TCIP)

Email: M.Eric.Johnson[at]Dartmouth.edu 
Website: http://oracle-www.dartmouth.edu/dart/groucho/tuck_faculty_and_research.faculty_profile?p_id=Q1X3CS
Website: http://mba.tuck.dartmouth.edu/digital/


David Kotz
David Kotz, Ph.D.
Dartmouth College, Department of Computer Science

David Kotz is a Professor of Computer Science at Dartmouth College.  He also serves as the Director of the Center for Mobile Computing, which focuses on wireless networks and mobile computing.  His research interests include security and privacy, pervasive computing, and wireless networks.  He has published over 100 refereed journal and conference papers.

After receiving his A.B. in Computer Science and Physics from Dartmouth in 1986, he completed his Ph.D in Computer Science from Duke University in 1991 and returned to Dartmouth to join the faculty. He is a Senior Member of the ACM and of the IEEE Computer Society.  He is also a member of the USENIX Association and of Computer Professionals for Social Responsibility. 

Current Projects: Scalable Secure Sensor Systems (4S), Dartmouth Internet Security Test-bed (DIST), Digital Living (DL), Measure, Analyze, Protect (MAP)

Email: dfk[at]cs.dartmouth.edu
Website: http://www.cs.dartmouth.edu/~dfk/


Fillia Makedon
Fillia Makedon, Ph.D.
University of Texas at Arlington, Department of Computer Science and Engineering

Fillia Makedon is the Chair of the Computer Science and Engineering Department at the University of Texas at Arlington (UTA) and is an ISTS faculty affiliate.  She is also the Director of the Heracleia Human Centered Computing Laboratory (UTA) and the DEVLAB (Dartmouth Experimental Visualization Laboratory) at Dartmouth College.  She earned her Ph.D. from Northwestern University.

Fillia is an appointed member of the Fulbright Board of Directors, NH Chapter (2003-present).  In 2001, she won the Senior Faculty Research Award at Dartmouth College for "Computational Methods Towards Early Detection of Alzheimer's".  She is the editor of the ACM Multimedia Systems Journal and eJETA (The electronic Journal on E-Commerce Tools & Applications).

Fillia’s current research interests include: computational multimedia, systems and applications, information retrieval, bio-medical computing, digital libraries, electronic publishing, electronic commerce tools and applications, negotiation systems, secure data access.

Email: makedon[at]uta.edu
Website: http://www.cse.uta.edu/makedon/


M. Douglas McIlroy
M. Douglas McIlroy, Ph.D.
Dartmouth College, Department of Computer Science

An Adjunct Professor of Computer Science at Dartmouth, M. Douglas McIlroy retired in 1997 from the Computing Sciences Research Center at Bell Laboratories (formerly a part of AT&T, now Alcatel-Lucent).  At Bell Labs he headed the Computing Techniques Research Department from 1965 to 1986, and thereafter served as Distinguished Member of Technical Staff.  Best known as the birthplace of the Unix operating system, the Computing Techniques Research Department did wide-ranging theoretical and applied research in programming languages, compilers, operating systems, design verification, algorithms, computational complexity, text processing, graphics, image processing, and computer security.

In 2004 the Usenix Association presented Doug its lifetime achievement award "for over fifty years of elegant contributions to Unix and programming", and also its Software Tools User Group award.  In 2006 he was elected to the National Academy of Engineering.

Doug earned a bachelor's degree in engineering physics from Cornell University and a Ph.D. in applied mathematics from the Massachusetts Institute of Technology.

Current Projects: Technology for Trust: Usable High-Assurance Operating Systems (T4T:UHOS)

Email: doug[at]cs.dartmouth.edu
Website: http://www.cs.dartmouth.edu/~doug/


Reza Olfati-Saber
Reza Olfati-Saber, Ph.D.
Dartmouth College, Thayer School of Engineering

Professor Olfati-Saber is an Assistant Professor in the Thayer School of Engineering at Dartmouth College. Prior to joining Dartmouth, he was a postdoctoral scholar of control and dynamical systems at California Institute of Technology and spent a brief period as a visiting scientist at UCLA.

Professor Olfati-Saber received his S.M. and Ph.D. degrees from Massachusetts Institute of Technology in Electrical Engineering and Computer Science in 1997 and 2001, respectively, and his B.S. degree from Sharif University in 1994.

His research interests include: sensor networks, swarms, distributed control theory, multi-robot systems, distributed inference and learning, information fusion, complex networks, dynamic social networks, and evolutionary dynamics of behavior. Professor Olfati-Saber’s work combines fundamental concepts and tools from computer science, networks, systems & control theory, physics, discrete mathematics, and behavioral sciences.

Email: olfati[at]Dartmouth.edu
Website: http://engineering.dartmouth.edu/~Reza_Olfati_Saber/


Fabio Pellacini
Fabio Pellacini, Ph.D.
Dartmouth College, Department of Computer Science

Fabio Pellacini joined the Computer Science Department as an Assistant Professor in the summer of 2005. Prior to joining Dartmouth, Fabio was a Visiting Assistant Professor in Computing and Information Science at Cornell University (2004-2005). In addition to his academic positions, Fabio has worked in the research division of Pixar Animation Studios (2002-2004) developing new algorithms used in various award winning feature films (Monster's Inc., Finding Nemo, The Incredibles, and Cars). He received his Ph.D. in Computer Science from Cornell University in 2002, working at the Program of Computer Graphics, and a Laurea degree in Physics (equiv. to BS and MS) from the University of Parma, Italy.

Fabio’s main research goal is to provide artists and designers with interactive and user-friendly algorithms for appearance design. This research has led to various theoretical results and practical applications in the areas of interactive realistic rendering, user interfaces and visual perception.

Current Projects: DIST – Visualization Experiments (DIST – Vis)

Email: Fabio[at]cs.dartmouth.edu
Website: http://www.cs.dartmouth.edu/~fabio/


Eugene Santos
Eugene Santos, Ph.D.
Dartmouth College, Thayer School of Engineering

Eugene Santos, Jr. received his B.S. ('85) in Mathematics and Computer Science from Youngstown State University, a M.S. ('86) in Mathematics (specializing in Numerical Analysis) from Youngstown State University, as well as Sc.M. ('88) and Ph.D. ('92) degrees in Computer Science from Brown University. His areas of research interest include artificial intelligence, intent inferencing, neural networks, automated reasoning, decision science, adversarial reasoning, user modeling, natural language processing, probabilistic reasoning, and knowledge engineering, verification and validation, protein folding, load balancing, virtual reality, and active user interfaces. He has served on many major conference program committees from intelligent agents to evolutionary computing. He is currently an associate editor for the IEEE Transactions on Systems, Man, and Cybernetics and for the International Journal of Image and Graphics, and is also on the editorial advisory board for System and Information Sciences Notes.

Email: Eugene.Santos.Jr[at]Dartmouth.edu
Website: http://engineering.dartmouth.edu/faculty/eugenesantos.html


Sean Smith

Sean Smith, Ph.D.
Dartmouth College, Department of Computer Science

Sean Smith has been working in information security---attacks and defenses, for industry and government---for over a decade. In graduate school, he worked with the US Postal Inspection Service on postal meter fraud; as a post-doc and staff member at Los Alamos National Laboratory, he performed security reviews, designs, analyses, and briefings for a wide variety of public-sector clients; at IBM T.J. Watson Research Center, he designed the security architecture for (and helped code and test) the IBM 4758 secure coprocessor, and then led the formal modeling and verification work that earned it the world's first FIPS 140-1 Level 4 security validation. Sean has published numerous refereed papers; given numerous invited talks; and been granted nine patents. His security architecture is used in thousands of financial, e-commerce, and rights managements installations world-wide.

In July 2000, Sean left IBM for Dartmouth since he was convinced that the academic education and research environment is a better venue for changing the world. His current work, as PI of the Dartmouth PKI Lab, investigates how to build trustable systems in the real world.

Sean was educated at Princeton (B.A., Mathematics) and CMU (M.S., Ph.D., Computer Science).

Current Projects: Hardware Based Security (HBS), I3P – Human Behavior, Information Risk in the Professional Services (IRIPS), OpenSolaris, PKI Research, Secure Information Systems Mentoring and Training (SISMAT), Technology for Trust: Tiny Trusted Third Parties (T4T: T3P), Technology for Trust: Usable High-Assurance Operating Systems (T4T:UHOS), Trustworthy Cyber Infrastructure for the Power Grid (TCIP)

Email: sws[at]cs.dartmouth.edu
Website: http://www.cs.dartmouth.edu/~sws/


Stephen Taylor
Stephen Taylor, Ph.D.
Dartmouth College, Thayer School of Engineering

Professor Stephen Taylor is returning to Dartmouth’s Thayer School of Engineering this January after spending the last four years as a Program Manager at the Defense Advanced Research Projects Agency (DARPA).  While with DARPA’s Strategic Technology Office (STO), he was responsible for broad strategic planning, technical leadership, operational management, and financial affairs associated with substantive research projects in the area of computer security. His work on these programs resulted in a Secretary of Defense Medal for Outstanding Public Service (2008), the DARPA Directors Award for Outstanding Portfolio of Technical Programs (2007) and a DARPA Achievement Award (2006).   

Stephen’s technical areas of expertise include information warfare, large-scale distributed computing and systems, computer and network security, medical diagnostics, and surveillance technologies. Stephen also has extensive Department of Defense / Intelligence Community consensus building and technology transition skills.

Stephen has a Bachelors degree in Computer Systems from Essex University in England, a Masters degree in Computer Science from Columbia University in New York, and a Doctorate in Computer Science from the Weizmann Institute in Israel.  He is the author of four books on concurrent programming technologies and program design methods, more than 25 journal articles and book chapters, and more than 25 conference articles.  Stephen has been a member of many information security-based panels and organizations and is the recipient of several awards related to his work.

Email: Stephen.Taylor[at]Dartmouth.edu
Website: http://engineering.dartmouth.edu/faculty/regular/stephentaylor.html


Paul Thompson
Paul Thompson, Ph.D.
Dartmouth College, Department of Computer Science and Thayer School of Engineering

Paul Thompson received his Ph.D. from the University of California, Berkeley, in 1986. His graduate research was on probabilistic information retrieval. He has worked in the field of information studies for over 25 years. He has published numerous papers, journal articles, and book chapters, and has served as a reviewer for various conferences, journals, and the National Science Foundation. From 1986-1988, he was an assistant professor at Drexel University's College of Information Studies. From 1988-1993, he was a member of PRC, Inc.'s (now part of Northrop Grumman) artificial intelligence development group, where he conducted research in natural language understanding and information retrieval. From 1993 until 2001, he worked for West Publishing Company (now West Group), conducting research on natural language understanding, information retrieval, machine learning / text categorization, and text mining. After joining Dartmouth College's Thayer School of Engineering and Institute for Security Technology Studies in 2001, he continued his earlier research and began new research in the areas of semantic hacking, the application of Semantic Web technology to sensor networks, and question answering. He is currently a research associate professor in the Computer Science Department at Dartmouth College. His current research focus is in deception detection, computational linguistics, and information retrieval.

E-Mail: Paul.Thompson[at]Dartmouth.edu

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